Evidence map›Paper›PMID 41208885›Full record

ArticleInternational journal of biological sciences2025

An efficient neural network of cooperating serotonergic and noradrenergic neurons in modulating sudden unexpected death in epilepsy.

Qing Xu, XiaoXia Xu, LeYuan Gu, YaXuan Wu, Yue Yang, ZhuoYue Zhang, ZiWen Zhang, XuanYi Di, XiTing Lian, Qian Yu and 7 more

Abstract read
In one paragraph

Article in International journal of biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Qing XuDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
XiaoXia XuDepartment of Anesthesiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, China.
LeYuan GuDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
YaXuan WuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
Yue YangDepartment of Anesthesiology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, China.
ZhuoYue ZhangDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
ZiWen ZhangDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
XuanYi DiDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
XiTing LianDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Qian YuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
YuLing WangDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
HaiXiang MaDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
WeiHui ShaoDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
Lu LiuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
JiaXuan GuDepartment of Anesthesiology, the Fourth Clinical School of Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
Fei TongDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
HongHai ZhangDepartment of Anesthesiology, Zhejiang University School of Medicine, Hangzhou, 310006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden unexpected death in epilepsy (SUDEP) is a critical concern, with seizure-induced respiratory arrest (S-IRA) being a major contributing factor. The serotonergic (5-HT) and noradrenergic (NE) neurons have emerged as key modulators of SUDEP, yet the network-level interactions and specific mechanisms underlying their protective roles remain poorly defined. This study is the first to demonstrate a synergistic effect of 5-HT and NE in mitigating S-IRA and SUDEP using DBA/1 mice. Through a combination of pharmacological interventions, calcium signal recordings, and optogenetics, results show that elevating 5-HT and NE levels via 5-hydroxytryptophan and the norepinephrine reuptake inhibitor atomoxetine significantly reduced SUDEP incidence, with evidence of a robust synergistic interaction. Furthermore, venlafaxine, a selective serotonin-norepinephrine reuptake inhibitor, enhances the cooperative regulation of 5-HT and NE, further supporting their combined protective role. Crucially, the dorsal raphe-locus coeruleus-pre-Bötzinger complex (DR-LC-PBC) neural network is demonstrated as a critical pathway underlying this modulation. Targeted administration of the 5-HT2A/NE α-1 receptor antagonist and agonist into the PBC reveal their pivotal roles in mediating the protective effects of 5-HT and NE. Our study reveals that serotonergic and noradrenergic systems synergistically regulate SUDEP, and further identifies that the DR-LC-PBC neural circuit exerts a protective effect through activation of 5-HT2A and NE-α1 receptors within the PBC.

Indexed as

Adrenergic NeuronsEpilepsyNerve NetSerotonergic NeuronsSudden Unexpected Death in EpilepsyAnimalsAtomoxetine HydrochlorideLocus CoeruleusMaleMiceMice, Inbred DBANorepinephrineSerotoninAtomoxetine HydrochlorideNorepinephrineSerotonindorsal raphe nucleuslocus coeruleusseizure-induced respiratory arrestsudden unexpected death in epilepsyvenlafaxine

Identifiers

PMID41208885
PMCPMC12594605

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.